Center for Data Integration and Knowledge for Health

Cidacs - Center for Data Integration and Knowledge for Health

2018 -

Currently, research on Cidacs use, mainly, linkage on government databases to generate new knowledge through the use of linkage algorithms developed by Cidacs’ team and other techniques such as data mining and machine learning, producing new information on health science.

Data received by the center are received, stored and preserved on basis of Digital Curation procedures. The center follows rigid ethic preceipts, norms and procedures to guarantee the secrecy of the individual data.

The data is processed in a high-performance computational environment, formed by Omolu supercomputer and other clusters located at Senai-Cimatec. Data abriged on Omolu are acessed through a monitored environment, without Internet access, with security protocols and restricted access control

Datasets produced on Cidacs are currently made available only to research projects associated to our research platforms or in colaboration with Cidacs.

Project Link



Project Team

Fabio Porto
Artur Ziviani